Job Title: Data Engineering Manager We are seeking a seasoned data leader to drive the growth and development of our data engineering capabilities. The ideal candidate will possess strong technical expertise in AWS, Databricks, and Python, as well as excellent leadership and communication skills. About the Role: - Lead the design, development, and optimization of scalable and secure data pipelines using AWS services such as Glue, S3, Lambda, EMR, and Databricks Notebooks, Jobs, and Workflows. - Oversee the development and maintenance of data lakes on AWS Databricks, ensuring performance and scalability. - Build and manage robust ETL/ELT workflows using Python and SQL, handling both structured and semi-structured data. - Implement distributed data processing solutions using Apache Spark/PySpark for large-scale data transformation. - Collaborate with cross-functional teams including data scientists, analysts, and product managers to ensure data is accurate, accessible, and well-structured. Responsibilities: - Enforce best practices for data quality, governance, security, and compliance across the entire data ecosystem. - Monitor system performance, troubleshoot issues, and drive continuous improvements in data infrastructure. - Conduct code reviews, define coding standards, and promote engineering excellence across the team. Benefits: - Flexible working options. - All the equipment you need to harness your talent. - Learning opportunities, including AWS Certifications and English Lessons. - Mentoring and Development opportunities to shape your career path.